Basic Research On Intelligent Selection Of PCD Turning Tools Based On Cutting Performance

Made in China 2025 has prompted the manufacturing industry to increasingly demand about quality of products,and the requirements and selection of tool performance for modern machining are becoming more and more demanding.This paper aims to improve the machining efficiency and machining quality of PCD tool cutting,and turning super-hard aluminum alloy Al7075-T6 as an application.Using the research method combining cutting simulation and cutting experiment,the geometric parameters and cutting parameters of PCD turning tools are optimized,and the intelligent selection platform of PCD turning tools is built.The research tasks of this paper are as follows:(1)In order to reduce the repeated modeling of PCD tools,parameterized design of PCD turning tools based on NX secondary development technology.Using NX/Open MenuScript to customize PCD tool menu,using NX/Open UIStyler to create user dialog based on PCD turning tools geometry parameters,using NX/Open Grip to write PCD turning tools model program.finally,through the joint programming method of NX / Open Grip and NX / Open API,the humancomputer interaction function of the parameterized design of the PCD turning tools is realized,and it runs in the NX interface.(2)The research method of combining the finite element simulation and the cutting test was used to study and analyze the influence of the rake angle,the back angle and the radius of the tool tip arc on the cutting force during the turning of the Al7075-T6,by PCD,and select the most suitable parameter value.The results shows that the suitable parameters are: rake angle range of 3 °~6 °,rake angle 7 °and tool nose arc radius 0.6 mm;the error between the simulation results and the test results of the three-way cutting force is less than 10%.(3)A cutting simulation was conducted to study the influence of the three cutting factors on the cutting force and the changing rules.The results showed that the amount of back-feeding of the three cutting factors had the greatest impact on the three-way cutting force,the feed rate was the second,and the cutting speed had the smallest effect.When the amount of back-feeding knife increases within 0.2mm-0.4mm,the three-way cutting force increases linearly;the feed amount has the most obvious effect on the tangential force,followed by the radial force and the axial force.Relative to the feed rate,the effect of back-feeding on the axial force and radial force is more obvious.(4)A turning test platform has been established for cutting test.The reliability of the simulation results that the cutting force is affected by the three factors of cutting is verified,and the variation of the surface roughness with the three cutting factors was analyzed based on the cutting test results.Analysis shows that there is no interaction between cutting amounts;among them,the surface roughness is mainly affected by the amount of feed,the greater the amount of feed,the rougher the surface of the workpiece.The BP neural network based on the L-M optimization algorithm has a good fit and prediction effect on cutting force and a good fit and prediction effect on surface roughness.(5)Established a PCD tools intelligent selection platform database,and determined that the machining efficiency,the surface roughness of the workpiece and the cutting force of the tool are the preferred targets of the tools,and completing the constraint processing,the production method based on genetic algorithm is used to optimize multi-objectives.The development interface of the intelligent tool selection platform is completed based on the JAVA programming language and MySQL 8.0 background database.Taking the turning of Al7075-T6 as an example,the reliability of the tool selection platform was verified.It has a guiding significance for the production and processing of PCD tools for turning super-hard aluminum alloys.The development and application of the PCD tool intelligent tool selection platform in this subject,the ultimate goal is to quickly select the best PCD tool according to the cutting requirements,which greatly improved processing efficiency.Simultaneously,it provides new research ideas and realization methods for the automated,digital and intelligent processing of nonferrous metals for PCD tools,which has certain practical application value and theoretical significance.